利用 HOD 信息先验增强 DESI DR1 全形态分析
宇宙学与河外天体物理
2025-04-15 v1
摘要
我们 presented 对 DESI 数据发布 1（DR1）的分析，纳入了 Halo Occupation Distribution（HOD）信息先验以用于基于宇宙扰动理论（PT）的全形态（Full-Shape, FS）功率谱建模。通过利用来自星系-星系团关联的物理洞见，这些 HOD 信息先验在允许动态暗能量的扩展宇宙模型中显著缓解了投影效应。结果可信区间现在包含了使用高斯先验的基线分析后验最大值的 posterior，消除了基线研究中观察到的显著后验偏移。在 CDM 框架下，结合 DESI DR1 FS 信息与 DESI DR1 双声道振荡（BAO）-包括核素核合（BBN）约束和对标量谱指数（scalar spectral index）的弱先验，得出 和 ，分别相对于基线分析提升约 4% 和 23%。对于 CDM 模型，我们的结果来自各种数据组合在高度一致，所有配置收敛于 且 的区域。这种收敛不仅暗示了动态暗能量的有趣线索，也强调了 HOD 信息先验方法在提供可靠宇宙约束方面的鲁健性。
引用
@article{arxiv.2504.10407,
title = {Enhancing DESI DR1 Full-Shape analyses using HOD-informed priors},
author = {Hanyu Zhang and Marco Bonici and Antoine Rocher and Will J. Percival and Arnaud de Mattia and Jessica Nicole Aguilar and Steven Ahlen and Otávio Alves and Alejandro Aviles and Anton Baleato Lizancos and Davide Bianchi and David Brooks and Andrei Cuceu and Axel de la Macorra and Peter Doel and Simone Ferraro and Nathan Findlay and Andreu Font-Ribera and Daniel Felipe Forero Sánchez and Jaime E. Forero-Romero and Satya Gontcho A Gontcho and Gaston Gutierrez and ChangHoon Hahn and Cullan Howlett and Mustapha Ishak and Minas Karamanis and Robert Kehoe and David Kirkby and Anthony Kremin and Ofer Lahav and Yan Lai and Martin Landriau and Laurent Le Guillou and Michael Levi and Marc Manera and Mark Lennard Maus and Aaron Meisner and Ramon Miquel and James Morawetz and John Moustakas and Seshadri Nadathur and Jeffrey A. Newman and Gustavo Niz and Hernan Enrique Noriega and Nathalie Palanque-Delabrouille and Mathilde Pinon and Francisco Prada and Ignasi Pérez-Ràfols and Graziano Rossi and Shun Saito and Lado Samushia and Eusebio Sanchez and David Schlegel and Michael Schubnell and Hee-Jong Seo and David Sprayberry and Gregory Tarlé and Benjamin Alan Weaver and Ruiyang Zhao and Rongpu Zhou},
journal= {arXiv preprint arXiv:2504.10407},
year = {2025}
}
备注
34 pages, 10 figures, comments welcome